Springer Series in Statistics
Multiscale Modeling
A Bayesian Perspective
Marco A.R. Ferreira | Herbert K.H. Lee
Mathematics / Probability & Statistics / General
This book presents methodology for analyzing data that cocur on multiple scales (for example, daily and monthly data, or data at zip code and state levels). This is the first such book to focus on the Bayesian approach, which allows straightforward incorporation of prior knowledge, as well as estimates of uncertainty. Two worked case studies provide detailed examples of these methods in practice.
| Publication Date: |
19 November 2010 |
| Publisher: |
Springer New York |
| Imprint: |
Springer |
| ISBN-13: |
9781441924261 |
| Format: |
Paperback softback |
| Page Count: |
245 |